# Lint as: python3
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for py_utils."""

from lingvo import compat as tf
from lingvo.core import py_utils
from lingvo.core import test_utils

tf.enable_eager_execution()


class PyUtilsEagerTest(test_utils.TestCase):

  def testCheckNumerics(self):
    checked = py_utils.CheckNumerics(
        tf.convert_to_tensor([2.0, 3.0], tf.float32))
    self.assertListEqual([2.0, 3.0], checked.numpy().tolist())

    with self.assertRaisesRegex(tf.errors.InvalidArgumentError, 'NaN'):
      py_utils.CheckNumerics(
          tf.reduce_mean(tf.convert_to_tensor([], tf.float32)))


if __name__ == '__main__':
  tf.test.main()
